Journal of Aerospace Science and Technology

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Related Links

FAQ

Journal Metrics

News

Editorial Staff

Publication Ethics

Open Access Policy

Journal Forms

Guide for Authors

Terms and conditions for manuscript submission

Editors

Article Processing Charges

Comment for Login

submit manuscript

List of Reviewers

Reviewer Guide of Publons

peer review process

Aerodynamic Optimization of a Wind Turbine Blade for Maximum Annual Energy Production at Manjil Wind Farm

Document Type : Original Article

Authors

1 Department of Aerospace Engineering, Amirkabir University of Technology. Tehran. Iran

2 Department of Aerospace Engineering, Amirkabir University of Technology

Abstract

To keep pace with current trends in the wind industry, this paper aims at the improvement of the annual energy production of a horizontal axis wind turbine by aerodynamic optimization of blades at the wind conditions of the Manjil site. To achieve this goal, the Riso wind turbine, whose characteristics are publicly available, is selected, and its twist angle and chord length distributions along the blades are optimized. The blade element momentum theory with appropriate corrections is used to predict the turbine output power. The genetic algorithm optimization tool, and Weibull probability density function, for wind regime representation, are also utilized in this work. Optimization results show a 9.4% and 11.6% increase in annual energy production, respectively, for the blade with optimal twist angle and the blade with optimal chord length and twist angle distributions. Finally, the superiority of selecting annual energy production as the objective function is assessed in comparison with other objective functions.

Keywords

Main Subjects

Article Title [Persian]

Aerodynamic Optimization of a Wind Turbine Blade for Maximum Annual Energy Production at Manjil Wind Farm

Authors [Persian]

  • Mahdi Azizi 1
  • Alireza Jahangirian 2

1 Department of Aerospace Engineering, Amirkabir University of Technology. Tehran. Iran

2 Department of Aerospace Engineering, Amirkabir University of Technology

Abstract [Persian]

To keep pace with current trends in the wind industry, this paper aims at the improvement of the annual energy production of a horizontal axis wind turbine by aerodynamic optimization of blades at the wind conditions of the Manjil site. To achieve this goal, the Riso wind turbine, whose characteristics are publicly available, is selected, and its twist angle and chord length distributions along the blades are optimized. The blade element momentum theory with appropriate corrections is used to predict the turbine output power. The genetic algorithm optimization tool, and Weibull probability density function, for wind regime representation, are also utilized in this work. Optimization results show a 9.4% and 11.6% increase in annual energy production, respectively, for the blade with optimal twist angle and the blade with optimal chord length and twist angle distributions. Finally, the superiority of selecting annual energy production as the objective function is assessed in comparison with other objective functions.

Keywords [Persian]

  • blade element momentum theory
  • genetic algorithm
  • Manjil wind farm
  • Weibull distribution
  • wind turbine optimization
References
[1]           British Petroleum (BP), Statistical Review of World Energy 2019.
[2]           Mostafaeipour, A. and H. Abarghooei, Harnessing wind energy at Manjil area located in north of Iran. Renewable and Sustainable Energy Reviews, 2008. 12(6): p. 1758-1766.
[3]           Brøndsted, P. and R.P. Nijssen, Advances in wind turbine blade design and materials. 2013: Elsevier.
[4]           Méndez, J. and D. Greiner. Wind blade chord and twist angle optimization by using genetic algorithms. in Proceedings of the Fifth International Conference on Engineering Computational Technology, B. Topping, G. Montero, and R. Montenegro, eds., Civil-Comp Press, Las Palmas de Gran Canaria, Spain, Sept. 2006.
[5]           Ceyhan, O., Aerodynamic design and optimization of horizontal axis wind turbines by using BEM theory and genetic algorithm. Middle East Technical University, 2008.
[6]           Polat, O. and I.H. Tuncer, Aerodynamic shape optimization of wind turbine blades using a parallel genetic algorithm. Procedia Engineering, 2013. 61: p. 28-31.
[7]           Sharifi, A. and M. Nobari, Prediction of optimum section pitch angle distribution along wind turbine blades. Energy Conversion and Management, 2013. 67: p. 342-350.
[8]           Mirghaed, M.R. and R. Roshandel, Site specific optimization of wind turbines energy cost: iterative approach. Energy Conversion and Management, 2013. 73: p. 167-175.
[9]           Kaviani, H. and A. Nejat, Aeroacoustic and aerodynamic optimization of a MW class HAWT using MOPSO algorithm. Energy, 2017. 140: p. 1198-1215.
[10]         Yang, H., J. Chen, X. Pang, and G. Chen, A new aero-structural optimization method for wind turbine blades used in low wind speed areas. Composite Structures, 2019. 207: p. 446-459.
[11]         Schepers, J., A. Brand, A. Bruining, J. Graham, M. Hand, D. Infield, H. Madsen, R. Paynter, and D. Simms, Final report of IEA Annex XIV: field rotor aerodynamics. ECN (Energy research Centre of the Netherlands) Report—ECN-C-97-027, 1997.
[12]         Schepers, J., A. Brand, A. Bruining, M. Hand, D. Infield, H. Madsen, T. Maeda, J. Paynter, R. van Rooij, and Y. Shimizu, Final report of IEA Annex XVIII: enhanced field rotor aerodynamics database. Energy Research Center of the Netherlands, ECN-C-02-016, February, 2002.
[13]         Manwell, J.F., J.G. McGowan, and A.L. Rogers, Wind energy explained: theory, design and application. 2010: John Wiley & Sons.
[14]         Branlard, E., Wind Turbine Aerodynamics and Vorticity-Based Methods: Fundamentals and Recent Applications. 2017: Springer International Publishing.
[15]         Drela, M., MIT AERO & Astro Harold Youngren Aerocraft Inc XFOIL 6.9 User Primer. 2001.
[16]         Hansen, M.O., Aerodynamics of wind turbines. 2015: Routledge.
[17]         Mitchell, M., An introduction to genetic algorithms. 1998: MIT press.
[18]         Selig, M.S. and V.L. Coverstone-Carroll, Application of a genetic algorithm to wind turbine design. Journal of Energy Resources Technology, 1996. 118(1): p. 22-28.
[19]         Hao, X., W. Zhang, X. Liu, and J. Liu. Aerodynamic and aeroacoustic optimization of wind turbine blade by a genetic algorithm. in 46th AIAA Aerospace Sciences Meeting and Exhibit. 2008.
[20]         MATLAB Optimization Toolbox Release 2016b Help: ga. The MathWorks, Inc., Natick, Massachusetts, United States.
[21]         Emeis, S., Wind energy meteorology: atmospheric physics for wind power generation. 2012: Springer Science & Business Media.
[22]         Justus, C., W. Hargraves, A. Mikhail, and D. Graber, Methods for estimating wind speed frequency distributions. Journal of applied meteorology, 1978. 17(3): p. 350-353.
Journal of Aerospace Science and Technology
Volume 14, Issue 2
October 2021
Pages 1-9
Files
Share
How to cite
Statistics